Navigating Strategic Communication: A Study of Modality in the National Artificial Intelligence Policy of Pakistan

Abstract

This study investigates Pakistan’s National Artificial Intelligence Policy (2022) to determine how strategic communication and linguistic techniques effectively convey intentions and manage societal challenges. It addresses how modality informs institutional objectives by integrating Modality (Halliday & Matthiessen, 2004) with Strategic Communication criteria/drivers (Zerfass et al., 2018). The qualitative analysis evaluates the policy directives against seven parameters of strategic complexity: resource, competition, innovation, engagement, operational, environment, and risk-driven criteria. Findings indicate that high-obligation modalities (e.g., "shall," "will") convey institutional obligation, whereas adaptable modalities (e.g., "may," "can") allow flexible nature in dynamic conditions. It also demonstrates the policy's priority of promoting diversity, encouraging innovation, and aligning with global AI practices. Future directions may investigate the influence of modalities on the stakeholder’s perception and interpretation of policy documents.